Senior Machine Learning Engineer, NLP - (Remote)

You Will

• Design, build, evaluate, and deploy advanced ML models, with a focus on NLP and specifically LLMs and SLMs, enhancing the speed and quality of research outputs.
• Lead the integration and finetuning of LLMs (like GPT, Gemini, Claude) and SLMs (like Mistral, Llama, Gemma) using methods such as HyDE, RAG, PEFT, qLORA, and LORA to extract and generate insights from complex datasets.
• Collaborate with data engineering teams to develop robust data pipelines and with infrastructure engineers to deploy scalable and efficient NLP systems in production environments.
• Stay ahead in the field by researching and implementing cutting-edge techniques in NLP, and optimize machine learning workflows using the latest advancements in tools like PyTorch and DVC.
• Drive technical discussions, apply best practices in machine learning and NLP, and lead problem resolution to ensure high-quality solutions.
• Take ownership of long-term technical strategies that foster innovation and drive the company’s mission forward.
• Engage with cross-functional teams, including R&D scientists and the Chief Science Officer, to understand and model biological complexities, contributing to interdisciplinary knowledge sharing.
• Lead and contribute to agile practices such as sprint planning, estimation, design, and code reviews to maintain a robust development process.
• Mentor junior engineers, promote a culture of learning and excellence, and establish industry-leading best practices in machine learning and NLP system development.

You Have:

• 5+ years of experience in applying advanced machine learning and NLP techniques, with a proven track record in deploying production-ready systems. 
• Expert proficiency in Python and core programming concepts, with extensive experience in NLP technologies and frameworks like PyTorch.
• You have demonstrated familiarity with LLMs (GPT, Gemini, Claude) and SLMs (Mistral, Llama, Gemma) in your recent work or projects..Demonstrated ability in designing, building, and evaluating robust and scalable ML models, with a keen eye for scalability, performance, and detail-oriented problem-solving.
• Strong skills in data engineering, including manipulation and processing with SQL, pandas, or similar technologies, and experience in fine tuning techniques such as HyDE, RAG, PEFT, qLORA, and LORA.A continuous learner with a growth mindset, always seeking to advance skills and knowledge in the evolving field of machine learning and NLP.
• Excellent communication and collaboration abilities, with experience working cross-functionally with technical and non-technical teams to drive innovative solutions.
• Bonus: Published research or literature in the field of machine learning or natural language processing is a plus but not required.